Vegetation type controls root turnover in global grasslands
Wang, Jinsong1; Sun, Jian1; Yu, Zhen2; Li, Yong3; Tian, Dashuan1; Wang, Bingxue1; Li, Zhaolei1; Niu, Shuli1,4
Corresponding AuthorNiu, Shuli(sniu@igsnrr.ac.cn)
AbstractAim Root turnover is an important process determining carbon and nutrient cycling in terrestrial ecosystems. It is an established fact that root turnover is jointly regulated by climatic, edaphic and biotic factors. However, the relative importance of these forces in determining the global patterns of root turnover time is far from clear. Location Global. Time period 1946-2017. Major taxa studied Grasslands. Methods We compiled a database of 141 sites with 433 observations on root turnover time and applied structural equation modelling (SEM) to investigate the relative contribution of climate, soil properties and vegetation type to the observed variations in root turnover time. Results Root turnover time was 3.1 years on average across the global grasslands and differed significantly among grassland types (tropical grassland and savanna, temperate grassland and meadow, alpine grassland and meadow, tundra and desert). It decreased with mean annual temperature, mean annual precipitation and Palmer drought severity index but increased with soil organic carbon content, total nitrogen content and carbon : nitrogen ratio. Soil bulk density and soil texture also significantly affected root turnover time, with clay content negatively correlating to root turnover time and explaining more variations than bulk density and sand content. The SEM showed that climatic factors had dominant effects on root turnover time when vegetation type was not considered. Vegetation type became the primary driver when it was included in the SEM. Main conclusions Our results indicate that the influences of climatic and edaphic factors on root turnover time are predominantly manifested through vegetation type. The critical role of precipitation as revealed for the first time in this study challenges our current understanding of climate impacts on root turnover time. The findings necessitate accurate representation of vegetation type in Earth system models to predict root function dynamics under global change.
Keywordclimate interaction root turnover soil nutrients soil physical properties structural equation modelling vegetation type
Indexed BySCI
Funding ProjectInternational Collaboration Program of Chinese Academy of Sciences[131A11KYSB20180010] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA 20030302] ; National Natural Science Foundation of China[31625006]
Funding OrganizationInternational Collaboration Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China
WOS Research AreaEnvironmental Sciences & Ecology ; Physical Geography
WOS SubjectEcology ; Geography, Physical
WOS IDWOS:000460419900003
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorNiu, Shuli
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China
2.Iowa State Univ, Dept Ecol Evolut & Organismal Biol EEOB, Ames, IA USA
3.Res Chinese Acad Forestry, Beijing Key Lab Wetland Serv & Restorat, Inst Wetland, Beijing, Peoples R China
4.Univ Chinese Acad Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Wang, Jinsong,Sun, Jian,Yu, Zhen,et al. Vegetation type controls root turnover in global grasslands[J]. GLOBAL ECOLOGY AND BIOGEOGRAPHY,2019,28(4):442-455.
APA Wang, Jinsong.,Sun, Jian.,Yu, Zhen.,Li, Yong.,Tian, Dashuan.,...&Niu, Shuli.(2019).Vegetation type controls root turnover in global grasslands.GLOBAL ECOLOGY AND BIOGEOGRAPHY,28(4),442-455.
MLA Wang, Jinsong,et al."Vegetation type controls root turnover in global grasslands".GLOBAL ECOLOGY AND BIOGEOGRAPHY 28.4(2019):442-455.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang, Jinsong]'s Articles
[Sun, Jian]'s Articles
[Yu, Zhen]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang, Jinsong]'s Articles
[Sun, Jian]'s Articles
[Yu, Zhen]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang, Jinsong]'s Articles
[Sun, Jian]'s Articles
[Yu, Zhen]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.